Abstract:

Artificial Intelligence (AI) has emerged as a transformative technology with far-reaching implications in various fields. This article provides an overview of the evolution of AI, its applications in education field, particularly during and after the Covid-19 pandemic. The study employs bibliometric analysis using the Scopus database, VOSviewer software and R software to explore the existing literature on AI in education. The analysis reveals a significant increase in publications since 2020, with a focus on topics related to the use of AI in education. The study identifies the universities and journals that contribute the most, highlighting the global interest in this field. In addition, citation and co-citation analyses reveal the most influential articles and key research topics. The results indicate a strong emphasis on AI in education, including topics such as Education 4.0, Industry 4.0, and Health 4.0. Overall, this research provides valuable insights into the use of AI in education and highlights its potential for personalized learning, instructional support, and data-driven decision making, especially in the post-pandemic era. The article concludes by acknowledging the limitations of the study and discussing the potential for further research in this rapidly expanding field.

Keywords:

Artificial Intelligence, Education, COVID-19, Bibliometric review.